Intermediate · Data
Information integration (II)
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Merging data from various sources that may have different formats or meanings into a unified view.
Technical Definition
Merging data from various sources that may have different formats or meanings into a unified view.
How it works
Information integration addresses the challenge of combining data from diverse, heterogeneous sources, each potentially using different representations or contexts. This process is crucial for data mining and consolidating information, especially from unstructured or semi-structured resources. It aims to create a coherent and unified dataset for analysis, unlike information fusion which focuses on reducing redundancy and uncertainty.
Related Concepts
- Data fusion — Combining data from multiple sources to create more accurate and useful information than any single source provides.
- Data mining — Discovering patterns and insights in large datasets using methods from machine learning, statistics, and databases.
- Knowledge Graph — A structured representation of knowledge as a network of entities and their relationships.